library("tidyverse")Registered S3 methods overwritten by 'dbplyr':
method from
print.tbl_lazy
print.tbl_sql
── Attaching packages ─────────────────────── tidyverse 1.3.2 ──✔ ggplot2 3.4.0 ✔ purrr 1.0.1
✔ tibble 3.1.8 ✔ dplyr 1.0.10
✔ tidyr 1.2.1 ✔ stringr 1.5.0
✔ readr 2.1.4 ✔ forcats 1.0.0 ── Conflicts ────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag() masks stats::lag()Add a new chunk by clicking the Insert Chunk button on the toolbar or by pressing Ctrl+Alt+I.
When you save the notebook, an HTML file containing the code and output will be saved alongside it (click the Preview button or press Ctrl+Shift+K to preview the HTML file).
The preview shows you a rendered HTML copy of the contents of the editor. Consequently, unlike Knit, Preview does not run any R code chunks. Instead, the output of the chunk when it was last run in the editor is displayed.
library("ggplot2")
library("ggrepel")
library("ggcorrplot")
library("DT")cases <- read_csv("COVID-19_cases_plus_census.csv")Rows: 3142 Columns: 259── Column specification ────────────────────────────────────────
Delimiter: ","
chr (5): county_fips_code, county_name, state, state_fips...
dbl (243): confirmed_cases, deaths, nonfamily_households, f...
lgl (10): pop_5_years_over, speak_only_english_at_home, sp...
date (1): date
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.cases